Suppose $X$ and $Y$ are two independent standard normal random variables. I know that $X/Y$ has Cauchy distribution. But how to compute $$\mathbb{P}[X>0>Y, X/Y \leq -a]$$ where $a$ is a positive constant. (I don't think $X>0>Y$ and $X/Y \leq -a$ are independent, so the probability above cannot be factorized as product.)
2026-02-23 13:29:28.1771853368
How to compute $\mathbb{P}[X>0>Y, X/Y \leq -a]$ where $X$ and $Y$ are two independent standard normal random variables?
55 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in PROBABILITY
- How to prove $\lim_{n \rightarrow\infty} e^{-n}\sum_{k=0}^{n}\frac{n^k}{k!} = \frac{1}{2}$?
- Is this a commonly known paradox?
- What's $P(A_1\cap A_2\cap A_3\cap A_4) $?
- Prove or disprove the following inequality
- Another application of the Central Limit Theorem
- Given is $2$ dimensional random variable $(X,Y)$ with table. Determine the correlation between $X$ and $Y$
- A random point $(a,b)$ is uniformly distributed in a unit square $K=[(u,v):0<u<1,0<v<1]$
- proving Kochen-Stone lemma...
- Solution Check. (Probability)
- Interpreting stationary distribution $P_{\infty}(X,V)$ of a random process
Related Questions in NORMAL-DISTRIBUTION
- Expectation involving bivariate standard normal distribution
- How to get a joint distribution from two conditional distributions?
- Identity related to Brownian motion
- What's the distribution of a noncentral chi squared variable plus a constant?
- Show joint cdf is continuous
- Gamma distribution to normal approximation
- How to derive $E(XX^T)$?
- $\{ X_{i} \}_{i=1}^{n} \thicksim iid N(\theta, 1)$. What is distribution of $X_{2} - X_{1}$?
- Lindeberg condition fails, but a CLT still applies
- Estimating a normal distribution
Related Questions in GAUSSIAN
- How to fit a Gaussian approximation to the likelihood curve at maximum?
- How can I find percentile $P_{10}$ and $P_{90}$ for Normal Distribution with Mean as $100$ and Standard Deviation as $3$?
- Give probability space $(\Omega,F,\mathbb P)$ & random variable $X:\Omega \to \mathbb R$ on $(\Omega,F,\mathbb P)$ so $X$ has normal distribution.
- Analyticity of determinant formula for Gaussian integral
- Searching for a second order ODE whose solution is bell shape (Gaussian function)
- Expectation: sigmoid times mixture of Gaussians
- Joint Gaussian distribution implies Gaussian + independence?
- how was the gaussian distribution developed? (question of an answer already done)
- A uniform distributed random vector on euclidean ball is sub gaussian
- Predictive distribution of SPGP
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
Another way to compute this is to note that the 2d standard normal distribution is radially symmetric. Thus we can write $(X,Y) = (R\cos\theta, R \sin \theta)$ where $\theta$ is uniformly distributed on $[0,2\pi]$.
If you draw a picture of your problem, then you'll notice that in these polar coordinates, you're simply computing the probability that $\theta$ lies in between two fixed values, which is easily computed in terms of arctangent.